Naz Taskin
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
Papers in
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- Neuroscience and Neuropharmacology Research 3
- Neuroscience and Neural Engineering 2
- Photoreceptor and optogenetics research 2
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- Neural dynamics and brain function 5
- Co-authors
- Avery C. Hunker (1 shared paper)Kathryn M. Gudsnuk (1 shared paper)Michal G. Fortuna (1 shared paper)Natalie Weed (1 shared paper)Ed S. Lein (1 shared paper)Jonathan T. Ting (1 shared paper)Boaz P. Levi (1 shared paper)
- Journals
- Cell Reports (3 papers)Nature Communications (2 papers)Nature Nanotechnology (1 paper)Neuron (1 paper)Science (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Naz Taskin
10 papers receiving 624 citations
Naz Taskin's Hit Papers
Peers
Comparison fields: 5 of 74
- Biophysics 85
- Cognitive Neuroscience 273
- Cellular and Molecular Neuroscience 241
- Neurology 72
- Developmental Neuroscience 29
Countries citing papers authored by Naz Taskin
This map shows the geographic impact of Naz Taskin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Naz Taskin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naz Taskin more than expected).
Fields of papers citing papers by Naz Taskin
This network shows the impact of papers produced by Naz Taskin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Naz Taskin. The network helps show where Naz Taskin may publish in the future.
Co-authors
The 7 scholars most cited alongside Naz Taskin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Classification of electrophysiological and morphological neuron types in the mouse visual cortex Hit paper breakdown → | 2019 | 300 |
| 2 | 2023 | 76 | |
| 3 | 2023 | 69 | |
| 4 | 2023 | 60 | |
| 5 | 2023 | 58 | |
| 6 | 2016 | 51 | |
| 7 | 2025 | 11 | |
| 8 | 2025 | 8 | |
| 9 | 2024 | 4 | |
| 10 | 2025 | 2 | |
| 11 | 2024 | 0 | |
| 12 | 2026 | 0 |
About Naz Taskin
Naz Taskin is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Neuroscience, Biophysics and Genetics, having authored 12 papers that have together received 639 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Virus-based gene therapy research (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Cell Image Analysis Techniques (2 papers), Neuroscience and Neural Engineering (2 papers), RNA regulation and disease (2 papers), Photoreceptor and optogenetics research (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Biophysics (85 citations), Cognitive Neuroscience (273 citations), Cellular and Molecular Neuroscience (241 citations), Neurology (72 citations) and Developmental Neuroscience (29 citations). Naz Taskin has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Avery C. Hunker, Kathryn M. Gudsnuk, Michal G. Fortuna, Natalie Weed, Ed S. Lein, Jonathan T. Ting and Boaz P. Levi. Their work appears in journals such as Cell Reports, Nature Communications, Nature Nanotechnology, Neuron and Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.